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Groundwater Modeling and Analysis

LAGMA Research Interests
The Laboratory for Groundwater Modeling and Analysis (LAGMA) focuses on developing cutting-edge subsurface models and advanced hydraulic tests for porous and fractured media. The research interests include numerical modeling of flow and contaminant transport in porous media and fractured rocks, stochastic approaches for uncertainty analyses and inverse modeling, laboratory and field experiments to characterize hydrogeological properties across scales, seawater intrusion and reactive transport in coastal aquifers, land subsidence monitoring and coupled hydro-mechanical modeling, and development of web platforms for groundwater modeling and data analysis.

The achievements encompass numerous groundwater flow and transport-relevant issues, as well as geo-environmental and geo-hazard applications. These achievements include:

Efficient spectral approaches that enable stochastic and inverse modeling of groundwater flow and transport for problems with practical scales and complexities.
A novel hybrid domain modeling concept that allows quantifying interactions between fractures and rock matrices for flow and transport in radionuclides, CO₂ geological sequestration, and geothermal energy sites.
A new conceptual workflow that links the index-overlay methods with physical models and allows for predicting vulnerability induced by climate conditions and human activities.
A geostatistical data fusion concept that integrates remote sensing and ground-based observations for monitoring land subsidence and earthquake-induced geo-hazards.
An intelligent framework that efficiently couples IoT real-time data and online physical models for monitoring and predictions of tasks in groundwater resource management and contaminant remediations.
Furthermore, our collaboration with computer science has integrated conceptually abstract models into a web-based interactive platform, making our achievements more accessible to practitioners such as managers and engineers in government agencies and industries.
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